Descripción
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Time evolving Random Network Models are presented as a mathematical framework formodelling and analyzing the evolution of complex networks. This framework allows the analysis over time of several network characterizing features such as link density, clustering coefficient, degree distribution, as well as entropy-based complexity measures, providing new insight on the evolution of random networks. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Entropy |
ISSN
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1099-4300 |
Factor de impacto JCR
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2,305 |
Información de impacto
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Volumen
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20 |
DOI
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10.3390/e20090681 |
Número de revista
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681 |
Desde la página
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1 |
Hasta la página
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15 |
Mes
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SIN MES |
Ranking
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Top 28% |